Data Analytics Consultant Resume

SUMMARY:

17+ years of professional experience in Data analytics & Visualization
Expertise in transforming raw data into actionable insights: Raw Data - Acquire - Data Munging - Analytics - Visualization
Ability to develop data analytics & statistical models in support of business objectives
Machine Learning - Supervised/Unsupervised/Semi-Supervised Algorithms
Big Data Analytics (HDFS) & Hadoop Ecosystem, SQL, Tableau - R & TabPy Integration, SAS and Spreadsheets
Data Strategy, Data Governance, Single-Source Of Truth (SSOT), Executive Dashboards & Story Telling
Leverage technical, business and financial acumen to communicate effectively with stakeholders
Led teams across broad technical, financial and business disciplines.
Global Delivery Management, Vendor Management and Program Management
Business Intelligence - Analysis & Reporting (SQL/Oracle/SPSS/SAS/R/Tableau/Spreadsheets)

WORK EXPERIENCE:

Confidential

Data Analytics Consultant

Responsibilities:

Clinical Trials Data Analytics & Visualization - Tableau Desktop & Tableau Server
Tableau - sets, parameters, action filters, LOD, advanced table calculations, maps, summary analytics & statistics
Sourcing data from multiple sources - Data blending & Cross Joins, Custom SQL
Propose appropriate analytics to meet business objectives based on the study Protocol and monitoring plan
Sourcing data from multiple sources - Data blending & Cross Joins
Build analytics framework for all research studies using drug protocol and CMP.
Defect Life Cycle Management – HP/ALM & CAPA coordination
Supports all production analytics and can effectively troubleshoot different types of issues - data/analytics
Contribute towards overall process optimization and metrics framework.

Confidential

Enterprise Consultant

Responsibilities:

Enterprise data visualization - Key Performance Metrics & Insights – Tableau Desktop & Tableau Server
Tableau Site administration for configuring Projects, Schedules, User Groups, Data Security and Data Source Governance
Multiple data sources – Data blending, Custom SQL (SQL Server, Oracle, SharePoint, Spreadsheets, Access)
Lead and coordinate the development of pattern analysis processes to support advanced analytics requirements
Extensive use of advanced spreadsheet functions (Excel- Macros/VBA)
Claims data analytics and Marketing data analytics
Tableau integration with R for predictive models.
Business Domain: Insurance – Life/Health/Annuities & Finance (Investment Data)

Confidential

Engagement Manager

Responsibilities:

Illustration model building and validation
Data extraction and Actuarial Analytics – Profitability Analysis, Market Analysis, Product Analysis
Life, Health and Annuity products configuration in the admin systems and testing their functionality

Confidential

Data Mining Consultant

Responsibilities: